Innovation

Advancing Audio Classification on Microcontrollers: AI at the Edge In the rapidly evolving landscape of embedded systems, integrating audio classification capabilities into microcontrollers marks a significant leap towards truly intelligent edge devices. These

Advancing Sensor Pattern Classification: Unlocking Vibration and Acoustic Insights in Embedded AI In the evolving landscape of embedded systems, sensor pattern classification is rapidly becoming a cornerstone of intelligent automation, particularly in analyzing

Reimagining Embedded Systems with DSP and Machine Learning Fusion Embedded systems have traditionally relied on Digital Signal Processing (DSP) to efficiently manage real-time data streaming and transformation tasks. Today, the convergence of DSP

Demystifying Machine Learning Model Explainability on Edge Devices As machine learning (ML) continues to permeate embedded systems, deploying intelligent models directly on edge devices is transforming industries. From autonomous vehicles to smart manufacturing,

Rethinking Security in Edge AI Deployments As embedded systems become ubiquitous across industries—from autonomous vehicles to smart healthcare devices—the integration of AI directly at the edge presents both remarkable opportunities and